Question
Asked Aug 7, 2019
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Which is not one of the major assumptions typically associated with parametric tests of significance?

  • A. Random Selection
  • B. Homogeneity of Variance
  • C. Absence of restricted ranges
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Expert Answer

Step 1

Introduction:

Some of the major requirements (though not the only requirements and may vary from one test to another) that must be met while conducting parametric tests are as follows:

  • The sample data must be independent of each other.
  • The samples from various groups must have same or comparable variance, otherwise called homogeneity of variance.
  • The data values must be numerical and the level of measurement must be either interval or ratio.
  • The data are collected from a normally distributed population.
Step 2

Explanation:

The assumption of independence may be satisfied by ensuring that the data are selected randomly. Thus, random selection is a major assumption typically associated with parametric tests.

The assumption of homogeneity of variance is necessary for most parametric tests. This assumption ensures that the variability in two or more samples that are being compared, are close enough, so that such a comparison is meaningful. Thus, homogeneity of variance is a major assumption typically associated with parametric tests.

Parametric tests can only be performed ...

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